Sim2Real U-Net CNN

In Deep Learning For perception we built a U-Net style CNN for segmenting drone racing frames using PyTorch. We trained the U-Net using exclusive synthetic data gendered with blender. I built a blender program to generate 50,000 training and ground truth images. When we deployed the network in the real world we achieved an accuracy of over 95%.